Instructions to use NLTYI/NLTYIMOVEGEN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use NLTYI/NLTYIMOVEGEN with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("lopi999/Wan2.2-I2V_General-NSFW-LoRA", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("NLTYI/NLTYIMOVEGEN") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("lopi999/Wan2.2-I2V_General-NSFW-LoRA", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("NLTYI/NLTYIMOVEGEN")
prompt = "-"
image = pipe(prompt).images[0]NLTYI MOVE GEN

- Prompt
- -
Model description
strength:0.8
Trigger words
You should use nsfwsks to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for NLTYI/NLTYIMOVEGEN
Base model
Wan-AI/Wan2.2-I2V-A14B